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» Guiding Agent Learning in Design
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IDEAL
2003
Springer
15 years 8 months ago
A Two-Stage Bayesian Network for Effective Development of Conversational Agent
Conversational agent is a system that provides user with proper information and maintains the context of dialogue based on natural language. When experts design the network for con...
Jin-Hyuk Hong, Sung-Bae Cho
EELC
2006
121views Languages» more  EELC 2006»
15 years 6 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
ICML
2003
IEEE
16 years 4 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
JIRS
2000
144views more  JIRS 2000»
15 years 3 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
JCP
2008
139views more  JCP 2008»
15 years 3 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang